The allocation of the computational load across different processing elements is an
important issue in parallel computing. Indeed, an unbalanced load distribution can strongly …

This article presents an approach for the efficient and transparent parallelization of a large
class of swarm algorithms, specifically those where the multiagent paradigm is used to …

The Cellular Automata paradigm is an efficient tool to model and study complex systems
such as traffic simulation, lava flows and swarm based behaviour. In addition, cellular …

A sensor network is composed of low-cost, low-power nodes densely deployable over a
(possibly in-hospitable) territory in order to monitor the state of the environment, eg …

Simulation techniques can provide a resource-driven schedule and answer many
hypothetical scenarios before project execution to improve on conventional project …

The work described in this paper aims at experimenting with PDEVS (parallel discrete event
system specification) modelling and simulation of complex and variable structure systems …

Abstract The Cellular Automata (CA) paradigm is well-suited to model complex systems
based on local rules of evolution such as those related to fluid-dynamics, crowd simulation …

PDEVS (Parallel DEVS) is a well-known formalism for the specification of complex
concurrent systems organized as an interconnection of atomic and coupled interacting …

Abstract Extended Cellular Automata (XCA) represent one of the most known parallel
computational paradigm for the modeling and simulation of complex systems on stenciled …

This paper proposes a component-based software architecture (Theatre) hosted by Java,
which enables modelling and discrete-event simulation of complex and dynamically …